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BPEL Processes Matchmaking for Service Discovery

机译:BPEL为服务发现进行配对

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摘要

The capability to easily find useful services (software applications, software components, scientific computations) becomes increasingly critical in several fields. Current approaches for services retrieval are mostly limited to the matching of their inputs/outputs. Recent works have demonstrated that this approach is not sufficient to discover relevant components. In this paper we argue that, in many situations, the service discovery should be based on the specification of service behavior. The idea behind is to develop matching techniques that operate on behavior models and allow delivery of partial matches and evaluation of semantic distance between these matches and the user requirements. Consequently, even if a service satisfying exactly the user requirements does not exist, the most similar ones will be retrieved and proposed for reuse by extension or modification. To do so, we reduce the problem of behavioral matching to a graph matching problem and we adapt existing algorithms for this purpose. A prototype is presented which takes as input two BPEL models and evaluates the semantic distance between them; the prototype provides also the script of edit operations that can be used to alter the first model to render it identical with the second one.
机译:容易找到有用服务(软件应用程序,软件组件,科学计算)的能力在几个领域中变得越来越重要。当前用于服务检索的方法主要限于其输入/输出的匹配。最近的工作表明,这种方法不足以发现相关组件。在本文中,我们认为,在许多情况下,服务发现应基于服务行为的规范。背后的想法是开发可在行为模型上运行的匹配技术,并允许交付部分匹配项,并评估这些匹配项与用户需求之间的语义距离。因此,即使不存在完全满足用户要求的服务,也将检索最相似的服务,并提出通过扩展或修改重用的服务。为此,我们将行为匹配问题简化为图匹配问题,并为此目的调整了现有算法。提出了一个原型,该原型将两个BPEL模型作为输入并评估它们之间的语义距离。该原型还提供了编辑操作脚本,可用于更改第一个模型以使其与第二个模型相同。

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